endolith

## window_properties.py
"""
Created on Wed Aug 03 11:56:41 2016
"""
from scipy.signal.windows import (boxcar, hann, hamming, bartlett, bohman,
                                  blackman, parzen, blackmanharris, cosine,
                                  kaiser, tukey, gaussian)
from scipy.fftpack import fft
import numpy as np
import matplotlib.pyplot as plt

## Condorcet.py
#!/usr/bin/env python

# alpha release 2005-02-04

# This python script by Russ Paielli implements two variations of
# Condorcet-Schulze voting algorithms and provides associated
# input/output utilities. To try it, type

# Condorcet.py <input> <output>

## CondorcetSSD.py
#!/usr/bin/env python

# Copyright (C) 2002 by Mike Ossipoff and Russ Paielli

# version 1.0 - released 2002-02-14
# version 1.01 - released 2002-08-24 -- comments revised slightly
# version 1.02 - released 2004-02-14 -- comments revised slightly

# See http://ElectionMethods.org/CondorcetSSD.py for updates.
# See http://ElectionMethods.org for related informatioin.

## fftconv-conv-timings-2d.ipynb

      
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                endolith
                / fftconv-conv-timings-2d.ipynb
            
            
              Created
              July 24, 2019 19:19
                — forked from stsievert/fftconv-conv-timings-2d.ipynb
            
              
                constant timing for convolution methods (fft and direct)
              
          
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## DFT_ANN.py
"""
Train a neural network to implement the discrete Fourier transform
"""
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import matplotlib.pyplot as plt

N = 32
batch = 10000

## mzti.m.py
from numpy import pi, exp, tan, sqrt, log10
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt


def lp2_mzti(w0=None, K=None):
    """
    Digital 2nd order lowpass filter design using
    improved Matched Z transform (MZTi)

## finite_scroll.txt
! Title: Finite Scroll (kills infinite scrolling)
! Last modified: 2017-10-24
! Homepage: https://gist.github.com/endolith/72ac5e69e037be02b118adbedcdeac59
! This URL: https://gist.githubusercontent.com/endolith/72ac5e69e037be02b118adbedcdeac59/raw/finite_scroll.txt


! TODO: Add these scripts: https://infinite-scroll.com/


! Forbes infinite scroll (and all other AJAX)

## bounds_constraints_example.py
import numpy as np
from numpy import exp, sqrt, pi, cos, sin, e
import matplotlib.pyplot as plt
from scipy import optimize
import warnings
warnings.filterwarnings("ignore",".*GUI is implemented.*")
from scipy._lib._util import check_random_state
from scipy.optimize._basinhopping import AdaptiveStepsize, RandomDisplacement


## reverse_cmap.py
from skimage import io as sio
import skimage
import numpy as np
import matplotlib.pyplot as plt

filename = 'Lennert jet.png'

img = skimage.img_as_float(sio.imread(filename))[:,:,:3]

jet = plt.cm.jet

## image_movie.py
from tkinter import Tk, Label
from PIL import Image, ImageTk
import os
import sys

# Skip every n frames.  Use 1 to show all images
skip = 1

try:
    root = Tk()
	"""
	Created on Wed Aug 03 11:56:41 2016
	"""
	from scipy.signal.windows import (boxcar, hann, hamming, bartlett, bohman,
	blackman, parzen, blackmanharris, cosine,
	kaiser, tukey, gaussian)
	from scipy.fftpack import fft
	import numpy as np
	import matplotlib.pyplot as plt
	#!/usr/bin/env python

	# alpha release 2005-02-04

	# This python script by Russ Paielli implements two variations of
	# Condorcet-Schulze voting algorithms and provides associated
	# input/output utilities. To try it, type

	# Condorcet.py <input> <output>
	#!/usr/bin/env python

	# Copyright (C) 2002 by Mike Ossipoff and Russ Paielli

	# version 1.0 - released 2002-02-14
	# version 1.01 - released 2002-08-24 -- comments revised slightly
	# version 1.02 - released 2004-02-14 -- comments revised slightly

	# See http://ElectionMethods.org/CondorcetSSD.py for updates.
	# See http://ElectionMethods.org for related informatioin.
	"""
	Train a neural network to implement the discrete Fourier transform
	"""
	from tensorflow.keras.models import Sequential
	from tensorflow.keras.layers import Dense
	import numpy as np
	import matplotlib.pyplot as plt

	N = 32
	batch = 10000
	from numpy import pi, exp, tan, sqrt, log10
	import numpy as np
	from scipy import signal
	import matplotlib.pyplot as plt


	def lp2_mzti(w0=None, K=None):
	"""
	Digital 2nd order lowpass filter design using
	improved Matched Z transform (MZTi)
	! Title: Finite Scroll (kills infinite scrolling)
	! Last modified: 2017-10-24
	! Homepage: https://gist.github.com/endolith/72ac5e69e037be02b118adbedcdeac59
	! This URL: https://gist.githubusercontent.com/endolith/72ac5e69e037be02b118adbedcdeac59/raw/finite_scroll.txt


	! TODO: Add these scripts: https://infinite-scroll.com/


	! Forbes infinite scroll (and all other AJAX)
	import numpy as np
	from numpy import exp, sqrt, pi, cos, sin, e
	import matplotlib.pyplot as plt
	from scipy import optimize
	import warnings
	warnings.filterwarnings("ignore",".GUI is implemented.")
	from scipy._lib._util import check_random_state
	from scipy.optimize._basinhopping import AdaptiveStepsize, RandomDisplacement
	from skimage import io as sio
	import skimage
	import numpy as np
	import matplotlib.pyplot as plt

	filename = 'Lennert jet.png'

	img = skimage.img_as_float(sio.imread(filename))[:,:,:3]

	jet = plt.cm.jet
	from tkinter import Tk, Label
	from PIL import Image, ImageTk
	import os
	import sys

	# Skip every n frames. Use 1 to show all images
	skip = 1

	try:
	root = Tk()